Difference between revisions of "Diffusion"
m |
m |
||
Line 17: | Line 17: | ||
<youtube>yTAMrHVG1ew</youtube> | <youtube>yTAMrHVG1ew</youtube> | ||
− | <youtube> | + | <youtube>HoKDTa5jHvg</youtube> |
− | <youtube> | + | <youtube>a4Yfz2FxXiY</youtube> |
− | <youtube> | + | <youtube>DHaL56P6f5M</youtube> |
Revision as of 08:32, 4 February 2023
YouTube search... ...Google search
- Markov Model (Chain, Discrete Time, Continuous Time, Hidden)
- Stable Diffusion | Stable Diffusion ... a latent text-to-image diffusion model capable of generating photo-realistic images given any text input
- DALL-E 2 | OpenAI
Diffusion Models are generative models, meaning that they are used to generate data similar to the data on which they are trained. Fundamentally, Diffusion Models work by destroying training data through the successive addition of Gaussian noise, and then learning to recover the data by reversing this noising process. | Ryan O'Connor - AssmblyAI